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GTM Engineer - RevAI

Monday Com · London · United Kingdom

Remote Full time Posted Open until 31 Oct 2026

The job, in the employer's words

monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.

Our RevAI organization is on a mission to reinvent how revenue teams operate by embedding AI into every part of the customer journey. We build and run AI agents that do real revenue work in production: agents that qualify and convert inbound leads over email, phone and messaging, agents that help account managers grow and protect their book of business, and agents that follow up with prospects after our events. Each one is measured against pipeline, every month.

 

About The Role

opportunities, configure and integrate AI agents into existing workflows, run pilots, and measure business impact. The role combines GTM understanding, hands-on AI agent
configuration, data analysis, and cross-functional collaboration.

What You'll Do:
Own GTM and AI agent initiatives end-to-end, from defining business needs to launch, measurement, and optimization.
Work closely with Sales and Customer teams to translate revenue processes into AI agent workflows and playbooks.
Configure AI agents, including prompts, skills, policies, tools, and integrations.
Build and maintain automations connecting agents with Salesforce, monday.com, Slack, and other systems.
Test, evaluate, and continuously improve agent performance.
Analyze sales and usage data using SQL to identify opportunities and measure business impact.
Lead pilots, drive adoption, and collaborate with engineering and leadership teams.

Requirements

  • 3+ years of experience in Revenue Operations, GTM Operations, AI Automation, or a related field.

  • Hands-on experience setting up, running, and evaluating AI agents in production GTM environments.

  • Strong experience with low-code/no-code automation tools and workflow builders, such as n8n, Make, or similar platforms.

  • Familiarity with technical concepts and tools, including JSON, APIs, system integrations, and SQL for data analysis.

  • Experience working with CRM platforms such as Salesforce, with a solid understanding of sales and revenue processes.

  • Proven experience leading technical and business projects end-to-end, from defining requirements to implementation.

What monday.com can offer you:

  • Join a customer-obsessed team where transparency and ownership are how we actually operate - not just things we put on a wall

  • Work on a multi-product suite powered by advanced AI, where what you ship reaches hundreds of thousands of customers worldwide

  • Competitive salary, benefits, bonus potential, and equity eligibility for many roles — we believe people should share in our success

  • Grow fast through a dedicated L&D team, AI workshops, bootcamps, and internal hackathons - the industry moves quick and so do we

  • A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more

Requirements mentioned

  • 3+ years of experience in Revenue Operations, GTM Operations, AI Automation, or a related field.
  • Hands-on experience setting up, running, and evaluating AI agents in production GTM environments.
  • Strong experience with low-code/no-code automation tools and workflow builders, such as n8n, Make, or similar platforms.
  • Familiarity with technical concepts and tools, including JSON, APIs, system integrations, and SQL for data analysis.
  • Experience working with CRM platforms such as Salesforce, with a solid understanding of sales and revenue processes.
  • Proven experience leading technical and business projects end-to-end, from defining requirements to implementation.

No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.

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